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12th International Conference on Information Technology and Electrical Engineering, ICITEE 2020

作者： Tamba, Tua A. Nazaruddin, Yul Y. Parahyangan Catholic University Center for Control Automation Systems Engineering Department of Electrical Engineering Bandung Indonesia Institut Teknologi Bandung Instrumentation Control Research Group Indonesia

ISBN: (纸本)9781728110974

One important task in the deployment of a wireless sensor network is solving the sensor network localization problem to assure location awareness of each sensor node in the network. The sensor network localization can be formulated as a global optimization problem that aims to minimize the squared inter-sensor distances under the constraint that such distances equal to some given numbers. The corresponding optimization formulation is generally nonsmooth, nonconvex, and NP-hard problem, and thus prior works have proposed approximate solution using relaxation methods such as semidefinite or conic programming. In this paper, a linear programming relaxation approach is proposed to solve such an optimization problem using the concept of Handelman's representation of nonnegative polynomial functions over polytopic set. Numerical simulation results are given to illustrate the promising potential of the proposed approach. © 2020 IEEE.

关键词： Linear programming

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Towards Integrated Traffic control with Operating Decentralized Autonomous Organization

Towards Integrated Traffic Control with Operating Decentrali...

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International Conference on Intelligent Transportation

作者： Shengyue Yao Jingru Yu Yi Yu Jia Xu Xingyuan Dai Honghai Li Fei-Yue Wang Yilun Lin Urban Computing Shanghai AI Lab Shanghai China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Research and Development Center of Transport Industry of Autonomous Driving Technology RIOH High and Technology Group Institute of Automation Chinese Academy of Sciences Beijing China Macau Institute of Systems Engineering Macau University of Science and Technology Macau China

With a growing complexity of the intelligent traffic system (ITS), an integrated control of ITS that is capable of considering plentiful heterogeneous intelligent agents is desired. However, existing control methods based on the centralized or the decentralized scheme have not presented their competencies in considering the optimality and the scalability simultaneously. To address this issue, we propose an integrated control method based on the framework of Decentralized Autonomous Organization (DAO). The proposed method achieves a global consensus on energy consumption efficiency (ECE), meanwhile to optimize the local objectives of all involved intelligent agents, through a consensus and incentive mechanism. Furthermore, an operation algorithm is proposed regarding the issue of structural rigidity in DAO. Specifically, the proposed operation approach identifies critical agents to execute the smart contract in DAO, which ultimately extends the capability of DAO-based control. In addition, a numerical experiment is designed to examine the performance of the proposed method. The experiment results indicate that the controlled agents can achieve a consensus faster on the global objective with improved local objectives by the proposed method, compare to existing decentralized control methods. In general, the proposed method shows a great potential in developing an integrated control system in the ITS.

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Towards Integrated Traffic control with Operating Decentralized Autonomous Organization

arXiv

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arXiv 2023年

作者： Yao, Shengyue Yu, Jingru Yu, Yi Xu, Jia Dai, Xingyuan Li, Honghai Wang, Fei-Yue Lin, Yilun Urban Computing Shanghai AI Lab Shanghai China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The Research and Development Center of Transport Industry of Autonomous Driving Technology RIOH High and Technology Group The Institute of Automation Chinese Academy of Sciences Beijing China The Macau Institute of Systems Engineering Macau University of Science and Technology China

关键词： Integrated control

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Fractional Order control of the Combined Anaesthesia-Hemodynamic System: a Preliminary Study

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IFAC-PapersOnLine 2021年第15期54卷 19-24页

作者： Erwin Hegedus Isabela Birs Cristina Muresan Automation Department Technical University of Cluj-Napoca 400144 Romania DySC research group on Dynamical Systems and Control Ghent University EEDT group member of Flanders Make consortium B-9052 Ghent Belgium

Most surgical interventions involve sedating the patient with a cocktail of substances having anesthetic effects. The procedure is usually performed by a medical doctor that continuously monitors and readjusts drug dosage with respect to the patient’s response. Current advances in automatic control and biomedical engineering offer the possibility to reassign the anesthetist’s task to real-time, highly-performant monitoring and control algorithms, with the purpose of providing a risk-free anesthetic experience. The present study combines the well-known benefits of fractional calculus in biomedical applications with the intricate tasks revolving around automatic anesthesia. The proposed fractional order control algorithms are developed based on an open-source patient simulator that combines hemodynamics and anesthesia in a single customizable framework. Testing and validation of the proposed strategy is successfully performed on a group of 24 different patients in the presence of surgical stimulus. The ultimate result is that the hemodynamic characteristics are kept within accepted ranges, while a certain level of anesthesia is achieved.

关键词： fractional calculus hemodynamics control anesthesia control surgical stimulus automatic control

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Development and validation of preliminary fractional order impedance models for experimental pain assessment

Development and validation of preliminary fractional order i...

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2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021

作者： Birs, Isabela Muresan, Cristina Ghita, Mihaela Ghita, Maria Copot, Dana Neckebroek, Martine Ionescu, Clara Technical University of Cluj-Napoca Automation Department Cluj-Napoca Romania DySC Research Group on Dynamical Systems and Control Ghent University Belgium Core Lab EEDT Flanders Make Consortium Ghent Belgium Ghent University Hospital Dept. of Anesthesia and Perioperative Medicine Belgium

ISBN: (纸本)9781665412629

The present study presents the development of an impedance based fractional order model that describe the dynamics of pain assessment based on experimental data. Bioimpedance spectroscopy is used to acquire real-life electrodermal responses from a healthy subject undergoing induced acute pain. The measurements register both normal epidermal values in the absence of pain and bioimpedance measurements at the presence of sudden, acute, pain. The aim is to develop a general model that describes the feeling of pain in the presence/absence of active stimulus. The complex dynamics of the acquired data suggest the usage of fractional calculus, a powerful tool that provides a versatile and efficient solution of modeling complex physical phenomena. The proposed models are obtained using constrained optimization routines and are successfully validated on the real life data. © 2021 IEEE.

关键词： Constrained optimization

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Modeling, analysis and experimental observations of fat volume properties in compartmental models for drug pharmacokinetics

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Annual Reviews in control 2025年 60卷

作者： Amani R. Ynineb Bouchra Khoumeri Erhan Yumuk Bora Ayvaz Ghada Ben Othman Clara M. Ionescu Dana Copot Ghent University Department of Electromechanics Systems and Metal Engineering Research Group on Dynamical Systems and Control Technologiepark 125 Gent 9052 Belgium Istanbul Technical University Department of Control and Automation Engineering 34469 Istanbul Turkey

Drug related dynamic uptake, clearance and anomalous diffusion patterns are dependent of biological tissue composition. Of particular importance is the fat volume, where drug trapping occurs in long term usage and related to lipophilic properties of drugs and non-homogeneous mixing. This paper introduces three probable drug pathways from fat volumes to augmented compartments, herein called trap volumes. In silico validation by using patient simulators with body mass index larger than 25. A non-homogeneous drug diffusion in biological tissue was considered using the partial-Caputo fractional-order compartmental model. To understand the effects in potential monitoring and sensing data information systems, an experiment has been proposed for in vitro impedance spectroscopy of fat samples. Variability with fat volume in observed data confirms the fractional-order characteristics that support theoretical model assumptions. A discussion section provides the implications for control of drug delivery systems.

关键词： Fractional-order impedance model Compartmental model Fractal kinetics Spectroscopy Pharmacology Digital simulator Experimental validation

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Towards Grassroots Peering at the Edge

arXiv

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arXiv 2021年

作者： Bermbach, David Lucia, Sergio Handziski, Vlado Wolisz, Adam TU Berlin ECDF Mobile Cloud Computing Research Group Germany TU Dortmund ECDF Process Automation Systems Group Germany Reliable Realtime Radio Germany TU Berlin ECDF Telecommunication Networks Group Germany

Fog Computing allows applications to address their latency and privacy requirements while coping with bandwidth limitations of Internet service providers (ISPs). Existing research on fog systems has so far mostly taken a very high-level view on the actual fog infrastructure. In this position paper, we identify and discuss the problem of having multiple ISPs in edge-to-edge communication. As a possible solution we propose that edge operators create direct edge-to-edge links in a grassroots fashion and discuss different implementation options. Based on this, we highlight some important open research challenges that result from this. Copyright © 2021, The Authors. All rights reserved.

关键词： Internet service providers

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Fuzzy PID control for suppressing stick-slip vibration of drill-string system

Fuzzy PID control for suppressing stick-slip vibration of dr...

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Chinese automation Congress (CAC)

作者： Shuaikang Hu Chengda Lu Min Wu Zhaoqing He Haitao Song Wangnian Li School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China China Coal Technology and Engineering Group Xi'an Research Institute Co. Ltd Xi'an China

In this paper, a fuzzy PID (Proportional Integral Derivative) controller is introduced to suppress the stick-slip vibration present in the drilling process. First, the dynamical model of stick-slip vibration is composed of the multi-DOF (Degree-Of-Freedom) drill-string model and the Karnopp model describing the interaction of the drill bit with the rock. Then, stability analysis is made for the initial PID parameters of our controller. To suppress the stick-slip vibration and at the same time mitigate the effects of the stratigraphic environment variation on the control performance, the fuzzy adaptive algorithm is chosen as the method of optimization controller parameters. From the experimental results, it is clear that our controller has good control performance in the complex and changing stratigraphic environment.

关键词： Vibrations Drilling PI control Delay effects process control Rocks Stability analysis

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Recent advances in catalytic filters for integrated removal of dust and NOx from flue gas:fundamentals and applications

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Resources Chemicals and Materials 2022年第3期1卷 275-289页

作者： Changming Li Lin Huangfu Jianling Li Shiqiu Gao Guangwen Xu Jian Yu State Environmental Protection Key Laboratory of Food Chain Pollution Control School of Ecology and EnvironmentBeijing Technology and Business UniversityBeijing 100048China. State Key Laboratory of Vanadium and Titanium Resources Comprehensive Utilization Pangang Group Research Institute Co.LtdPanzhihua 617000China State Key Laboratory of Multi-phase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China. School of Chemical Engineering Shenyang University of Chemical TechnologyShenyang 110142LiaoningChina

Catalytic filters including catalytic bag filters and catalytic filter candles, which couple the filters with denitrification catalysts to obtain the ability to simultaneously remove SOx, NOx and dust, have become the promising applied technology for the integrated flue gas treatment because of their huge advantages in reducing the initial investment, floor occupancy and maintenance cost. In this review, we will summarize the recent advances in the development of catalytic filters in terms of their process principles, filter material, denitrification catalysts, structure-function relationships and industrial applications. Moreover, suggestions about the current challenges and future opportunities are also given from the viewpoints of catalysts and filter material design, catalytic filter preparation methods, and their poisoning and regeneration, etc. With the further development of theory and engineering research, the extensive industrial application of catalytic filters in the field of multiple pollutants flue gas treatment is highly anticipated in the future.

关键词： Catalytic filter candles Catalytic bag filters Integrated flue gas treatment Industrial application

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Which and How Many Soil Sensors are Ideal to Predict Key Soil Properties: A Case Study with Seven Sensors

SSRN

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SSRN 2024年

作者： Schmidinger, Jonas Barkov, Viacheslav Tavakoli, Hamed Correa, José Eduardo Ostermann, Markus Atzmueller, Martin Gebbers, Robin Vogel, Sebastian Osnabrück University Joint Lab Artificial Intelligence and Data Science Osnabrück Germany Department of Agromechatronics Potsdam Germany Process Analytical Technology Berlin Germany Research Department Plan-Based Robot Control Osnabrück Germany Osnabrück University Semantic Information Systems Group Osnabrück Germany Martin Luther University Halle-Wittenberg Institute of Agricultural and Nutritional Sciences Halle Germany

Soil sensing enables rapid and cost-effective soil analysis. However, a single sensor often does not generate enough information to reliably predict a wide range of soil properties. Within a case-study, our objective was to identify how many and which combinations of soil sensors prove to be suitable for high-resolution soil mapping. On a subplot of an agricultural field showing a high spatial soil variability, six in-situ proximal soil sensors (PSSs) next to remote sensing (RS) data from Sentinel-2 were evaluated based on their capabilities to predict a set of soil properties including: soil organic matter, pH, moisture as well as plant-available phosphorus, magnesium and potassium. The set of PSSs consisted of ion-selective pH electrodes, a capacitive soil moisture sensor, an apparent soil electrical conductivity measuring system as well as passive gamma-ray-, X-ray fluorescence- and near-infrared spectroscopy. All possible combinations of sensors were exhaustively evaluated and ranked based on their prediction performances. Over all soil properties, data fusion demonstrated a considerable increase in prediction accuracy. Five out of six soil properties were predicted with an R2 ≥ 0.80 with the best sensor fusion model. Nonetheless, the improvement derived from fusing an increasing number of PSSs was subject to diminishing returns. Sometimes adding more PSSs even decreased prediction performances for specific soil properties. Gamma-ray spectroscopy and near-infrared spectroscopy demonstrated to be most effective, both as single sensors or in combination with other sensors. As a single sensor, RS outperformed three out of six PSSs. RS showed especially potential for fusion with single PSSs but was of limited benefit when multiple PSSs were fused. © 2024, The Authors. All rights reserved.

关键词： Soil moisture

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